Wenqiang Zhang

Electrical and Electronic Engineering · Nature · 2017–2022

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 89 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it

Whom Wenqiang Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Pai-Yu Chen
2. Sen Song
3. Peng Yao
4. Kaiming He
5. Alex Krizhevsky
6. Linghao Song
7. Tsung-Yi Lin
8. Mohammad H. Amin
9. Can Li
10. Shimeng Yu

Papers from Wenqiang Zhang's perspective

Ordered by how strongly the researchers Wenqiang Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet Large Scale Visual Recognition Challenge
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Going deeper with convolutions
7. Learning Multiple Layers of Features from Tiny Images
8. Microsoft COCO: Common Objects in Context
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Face classification using electronic synapses (2017) — 828 citations
• Fully hardware-implemented memristor convolutional neural network (2020) — 2,009 citations
• A compute-in-memory chip based on resistive random-access memory (2022) — 863 citations
• Neuro-inspired computing chips (2020) — 772 citations